Acoustic Categorization of the urban Multi-Sensor Network ofthe DYNAMAP LIFE project developed for Road Traffic NoiseMapping

Abstract

The DYNAMAP LIFE project proposes the implementation of a dynamic noisemapping system able to determine the acoustic impact of road infrastructures inreal-time, following the European Noise Directive 2002/49/EC. A Multi-SensorNetwork collects the noise level measurements in two pilot areas: in the cityof Milan and in the A90 motorway around Rome. For a proper evaluation ofthe equivalent noise level of road infrastructures, the anomalous noise events(ANE) unrelated to traffic noise (e.g. sirens, horns, speech, doors. . . ) should beremoved automatically.For this purpose, an anomalous noise events detector(ANED) has been designed using Mel-Frequency Cepstral Coefficients (MFCC)and Gaussian Mixture Models (GMM). This work focuses on the analysis of thespectral characteristics of the acoustic data from the 24-nodes of the Milan urbanarea network in order to determine whether a single adjustment of the ANED cancope with the particularities of each sensor location. To that effect, representativeacoustic data has been collected through the Multi-Sensor network in real-operationconditions. These data have been subsequently analyzed in terms of their spectro-temporal distribution as a first step of the generalization of the ANED algorithm forall the nodes in the WASN.